Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction

Evgeny Bryndin

doi:doi:10.11648/j.acis.20200804.11

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Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction

Evgeny Bryndin

Published in Automation, Control and Intelligent Systems (Volume 8, Issue 4)

Received: 27 October 2020 Accepted: 5 November 2020 Published: 11 November 2020

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Abstract

Technological collective ensembles are one of the new promising areas of artificial intelligence, which was formed on the basis of research results in the field of distributed computer systems, network technologies for solving problems, agents and systems with artificial intelligence and parallel computing. Ensemble of intelligent virtual agents can simultaneously interact with several external environments, conduct several dialogues and perform many skills, that is, can have collective knowledge and skills and behavior. The author, in this article, proposes a synergistic approach to the formation of technological ensembles of intelligent virtual agents. The synergistic approach created reference positions for the development of a new promising area of informatics. Synergistic approach establishes the relationships and from the image of conjugated system phenomena. It uses tools, approaches, and methodology to reasonably transfer the results of subsystem research, parts, and sections to their integral integrated and hierarchically superior system levels. The synergetic approach shows the most important role of resonant phenomena of the states of information systems. The synergistic principle provides a single basis for self-organization. The stage of self-organization occurs only in the case of positive feedback. Synergistic approach allows you to implement the self-organization of intelligent virtual agents of the technological ensemble. Technological self-organizing collective ensembles are able to interact with production teams, replace them for some time and even completely release them in various fields of professional activity. Technological collective ensembles can manage industries, make decisions in difficult changing circumstances and ensure safety in extreme conditions.

Published in	Automation, Control and Intelligent Systems (Volume 8, Issue 4)
DOI	10.11648/j.acis.20200804.11
Page(s)	29-37
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Technological Ensemble, Intellectual Agents, Collective Skills and Behavior, Synergistic Self-organization, Changing Circumstances

References

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[2]	Stewart Russell, Peter Norvig. Artificial Intelligence: Modern Approach. Williams, 2019. 1408 p. ISBN: 978-5-8459-1968-7.
[3]	Wu Jun. Research on the Framework of Smart City Operating System Based on New ICTs. American Journal of Artificial Intelligence. Volume 4, Issue 1, June 2020, Pages: 36-41.
[4]	Masloboev A. V., Langhans M. A multi-agent system for management information support of regional innovations. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 4, pp. 630–638.
[5]	CRONEMBERGER F, GIL-GARCIA J R. Big data and analytics as strategies to generate public value in smart cities: proposing an integrative framework [M]. Switzerland: Springer Nature, 2019.
[6]	Fatima Kalna. A Meta-model for Diverse Data Sources in Business Intelligence. American Journal of Embedded Systems and Applications, Volume 7, Issue 1, June 2019, Pages: 1-8.
[7]	Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents on Technological Platforms. COJ Technical & Scientific Research. 2 (4). 2020. Pages: 1-8.
[8]	Evgeniy Bryndin. Development of artificial intelligence by ensembles of virtual diversification agents. International Journal of Research in Engineering. Volume 2; Issue 1; 2020; Page 08-14.
[9]	Oleg Vasylovych Moroz, Model of Self-organizing Knowledge Representation and Organizational Knowledge Transformation, American Journal of Artificial Intelligence. Vol. 4, No. 1, 2020, pp. 1-19. doi: 10.11648/j.ajai.20200401.11.
[10]	Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Automation, Control and Intelligent Systems. Volume 8; Issue 1. 2020. Pages: 1-8.
[11]	ISO/IEC JTC 1/SC 42/WG 4 Use cases and applications Convenorship: JISC (Japan). 2019-12-23. https://isotc.iso.org/livelink/livelink/open/jtc1sc42wg4.
[12]	Evgeniy Bryndin. Formation of Technological Cognitive Reason with Artificial Intelligence in Virtual Space. Britain International of Exact Sciences Journal, Volume 2, Issue 2, May 2020. Page: 450-461.
[13]	Evgeniy Bryndin. Standardization of Artificial Intelligence for the Development and Use of Intelligent Systems. Advances in Wireless Communications and Networks. Volume 6, Issue 1, 2020, pp. 1-9.
[14]	Evgeniy Bryndin. Safe Interaction of Technocratic Societies Through Standardy Ensemble of Intellectual Virtual Agents. Control Science and Engineering. Vol. 4, Issue 1, 2020, pp. 8-15.
[15]	Evgeniy Bryndin. Communicative-associative development of smart artificial intelligence by criteria with the help of ensembles of diversified agents. International Journal of Intelligent Information Systems. Volume 9, Issue 4, 2020.. pp. 24-34.
[16]	Evgeniy Bryndin. Implementation of International Telemedicine network with Rapid Coronavirus Registration by Resonant Technology to Neutralize the Pandemic. Computational Biology and Bioinformatics. Vol. 8, Issue 2, 2020, pp. 29-35.

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APA Style

Evgeny Bryndin. (2020). Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Automation, Control and Intelligent Systems, 8(4), 29-37. https://doi.org/10.11648/j.acis.20200804.11

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ACS Style

Evgeny Bryndin. Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Autom. Control Intell. Syst. 2020, 8(4), 29-37. doi: 10.11648/j.acis.20200804.11

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AMA Style

Evgeny Bryndin. Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Autom Control Intell Syst. 2020;8(4):29-37. doi: 10.11648/j.acis.20200804.11

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@article{10.11648/j.acis.20200804.11,
  author = {Evgeny Bryndin},
  title = {Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction},
  journal = {Automation, Control and Intelligent Systems},
  volume = {8},
  number = {4},
  pages = {29-37},
  doi = {10.11648/j.acis.20200804.11},
  url = {https://doi.org/10.11648/j.acis.20200804.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20200804.11},
  abstract = {Technological collective ensembles are one of the new promising areas of artificial intelligence, which was formed on the basis of research results in the field of distributed computer systems, network technologies for solving problems, agents and systems with artificial intelligence and parallel computing. Ensemble of intelligent virtual agents can simultaneously interact with several external environments, conduct several dialogues and perform many skills, that is, can have collective knowledge and skills and behavior. The author, in this article, proposes a synergistic approach to the formation of technological ensembles of intelligent virtual agents. The synergistic approach created reference positions for the development of a new promising area of informatics. Synergistic approach establishes the relationships and from the image of conjugated system phenomena. It uses tools, approaches, and methodology to reasonably transfer the results of subsystem research, parts, and sections to their integral integrated and hierarchically superior system levels. The synergetic approach shows the most important role of resonant phenomena of the states of information systems. The synergistic principle provides a single basis for self-organization. The stage of self-organization occurs only in the case of positive feedback. Synergistic approach allows you to implement the self-organization of intelligent virtual agents of the technological ensemble. Technological self-organizing collective ensembles are able to interact with production teams, replace them for some time and even completely release them in various fields of professional activity. Technological collective ensembles can manage industries, make decisions in difficult changing circumstances and ensure safety in extreme conditions.},
 year = {2020}
}

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TY - JOUR
T1 - Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction
AU - Evgeny Bryndin
Y1 - 2020/11/11
PY - 2020
N1 - https://doi.org/10.11648/j.acis.20200804.11
DO - 10.11648/j.acis.20200804.11
T2 - Automation, Control and Intelligent Systems
JF - Automation, Control and Intelligent Systems
JO - Automation, Control and Intelligent Systems
SP - 29
EP - 37
PB - Science Publishing Group
SN - 2328-5591
UR - https://doi.org/10.11648/j.acis.20200804.11
AB - Technological collective ensembles are one of the new promising areas of artificial intelligence, which was formed on the basis of research results in the field of distributed computer systems, network technologies for solving problems, agents and systems with artificial intelligence and parallel computing. Ensemble of intelligent virtual agents can simultaneously interact with several external environments, conduct several dialogues and perform many skills, that is, can have collective knowledge and skills and behavior. The author, in this article, proposes a synergistic approach to the formation of technological ensembles of intelligent virtual agents. The synergistic approach created reference positions for the development of a new promising area of informatics. Synergistic approach establishes the relationships and from the image of conjugated system phenomena. It uses tools, approaches, and methodology to reasonably transfer the results of subsystem research, parts, and sections to their integral integrated and hierarchically superior system levels. The synergetic approach shows the most important role of resonant phenomena of the states of information systems. The synergistic principle provides a single basis for self-organization. The stage of self-organization occurs only in the case of positive feedback. Synergistic approach allows you to implement the self-organization of intelligent virtual agents of the technological ensemble. Technological self-organizing collective ensembles are able to interact with production teams, replace them for some time and even completely release them in various fields of professional activity. Technological collective ensembles can manage industries, make decisions in difficult changing circumstances and ensure safety in extreme conditions.
VL - 8
IS - 4
ER -

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Author Information

Evgeny Bryndin

Research Department, Research Center ?Natural Informatics?, Novosibirsk, Russia

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APA Style

Evgeny Bryndin. (2020). Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Automation, Control and Intelligent Systems, 8(4), 29-37. https://doi.org/10.11648/j.acis.20200804.11

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ACS Style

Evgeny Bryndin. Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Autom. Control Intell. Syst. 2020, 8(4), 29-37. doi: 10.11648/j.acis.20200804.11

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AMA Style

Evgeny Bryndin. Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Autom Control Intell Syst. 2020;8(4):29-37. doi: 10.11648/j.acis.20200804.11

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@article{10.11648/j.acis.20200804.11,
  author = {Evgeny Bryndin},
  title = {Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction},
  journal = {Automation, Control and Intelligent Systems},
  volume = {8},
  number = {4},
  pages = {29-37},
  doi = {10.11648/j.acis.20200804.11},
  url = {https://doi.org/10.11648/j.acis.20200804.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20200804.11},
  abstract = {Technological collective ensembles are one of the new promising areas of artificial intelligence, which was formed on the basis of research results in the field of distributed computer systems, network technologies for solving problems, agents and systems with artificial intelligence and parallel computing. Ensemble of intelligent virtual agents can simultaneously interact with several external environments, conduct several dialogues and perform many skills, that is, can have collective knowledge and skills and behavior. The author, in this article, proposes a synergistic approach to the formation of technological ensembles of intelligent virtual agents. The synergistic approach created reference positions for the development of a new promising area of informatics. Synergistic approach establishes the relationships and from the image of conjugated system phenomena. It uses tools, approaches, and methodology to reasonably transfer the results of subsystem research, parts, and sections to their integral integrated and hierarchically superior system levels. The synergetic approach shows the most important role of resonant phenomena of the states of information systems. The synergistic principle provides a single basis for self-organization. The stage of self-organization occurs only in the case of positive feedback. Synergistic approach allows you to implement the self-organization of intelligent virtual agents of the technological ensemble. Technological self-organizing collective ensembles are able to interact with production teams, replace them for some time and even completely release them in various fields of professional activity. Technological collective ensembles can manage industries, make decisions in difficult changing circumstances and ensure safety in extreme conditions.},
 year = {2020}
}

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